Training a latent variable based variational inference model on multimodal data in order to perform inference with all possible combinations of missing modalities.
In this project, we apply currently available solutions to address incremental knowledge graph embedding to several applications to test their efficiency.
In this project, we propose an incremental learning problem for Knowledge Graphs to obtain representations for new entities and also update the representations of old entities that share facts with these newer entities.
We created a state of the art Optical Character Recognition Engine specifically for Indian ID cards using a pipeline for document layout detection, foreground extraction, text detection, recognition and postprocessing
Deep Learning based Indian Sign Language detection for conversion to speech, a subsystem of the Hindi speech-Indian sign language interconversion system